Credit units: 3
Offered: Term 2 only
Weekly hours: 3 Lecture hours
College: Arts and Science
Department: Computer Science
Presents the fundamentals of theory and practice of image processing and computer vision. A range of topics are presented covering the phases of a typical image processing and computer vision pipeline: image preprocessing, image segmentation, region description, and classification/decision-making. Theory is practiced through computer programming assignments using a modern image processing library. Students completing this course can expect to be able to solve image processing and computer vision problems of up to moderate difficulty that increasingly arise across a wide range of disciplines and application areas.
Prerequisite(s): (MATH 164.3, 266.3, EE 216.3, CE 318.3; ) and one of (CMPT 317.3, CMPT 332.3, CMPT 340.3, CMPT 370.3).
Note: Students with credit for CMPT 424 may not take this course for credit.
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